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垃圾邮件或不垃圾邮件数据集

垃圾邮件或不垃圾邮件数据集

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Email and Messaging,Binary Classification Classification

数据结构 ? 4.06M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Context The collection consists of '0030228_easy_ham.tar.bz2' and '20030228_spam.tar.bz2' taking from https://spamassassin.apache.org/old/publiccorpus/ i.e. _Apache SpamAssassin’s public datasets_. There are 2500 ham and 500 spam emails in the dataset. You may also notice that all the numbers and URLs were converted to strings as `NUMBER` and `URL` respectively. This is the simplified spam and ham dataset. Acknowledgements My first interaction about the content was on the 'Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow' book. If you follow the questions at the end of Chapter 3, Aurélien Geron asks you to build a spam classifier using this dataset. Thanks to Aurélien, I was familiar with the data itself and tried several models including Embeddings and Machine Learning Algorithms.
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